Work

Automated prediction of response to neoadjuvant chemotherapy from digitized H&E slides of pre-treatment core needle biopsies in germline BRCA carriers with HER2-negative breast cancer (TBCRC 031).

Year: 2024

Type: conference-abstract

Source: Journal of Clinical Oncology

DOI: 10.1200/jco.2024.42.16_suppl.605

Authors: Nadine M. Tung, Stuart J. Schnitt, Judy Ellen Garber, Satabhisa Mukhopadhyay, Tathagata Dasgupta, Craig A. Bunnell

Institutions: Beth Israel Deaconess Medical Center, Brigham and Women's Hospital, Dana-Farber Cancer Institute

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4400523312

Cites:

Cited by: 1

Related to: 10